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Enhancing Vector based Retrieval Augmented Generation with Contextual Knowledge Graph Construction

A novel approach to enhancing vector-based RAG models using contextual knowledge graph construction.

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Enhancing Vector based Retrieval Augmented Generation with Contextual Knowledge Graph Construction

By Sagar Mankari, Abhishek Sanghavi
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The authors introduce Contextual Knowledge Graph Construction (CKGC), a method that dynamically builds a knowledge graph to enhance information retrieval and question answering tasks.

CKGC leverages text chunking, large language models, and ontology mapping to construct a contextualized knowledge graph. Experiments demonstrate significant improvements in Mean Reciprocal Rank and Top-k Accuracy.

Abstract

The authors introduce Contextual Knowledge Graph Construction (CKGC), a method that dynamically builds a knowledge graph to enhance information retrieval and question answering tasks. CKGC leverages text chunking, large language models, and ontology mapping to construct a contextualized knowledge graph. Experiments demonstrate significant improvements in Mean Reciprocal Rank and Top-k Accuracy.

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contextual knowledge graph constructionvector-based retrieval augmented generationinformation retrievalquestion answeringtext chunkingontology mappingKnowledge GraphsLarge Language ModelsRetrieval & RAGOntology & Taxonomy
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Enhancing Vector based Retrieval Augmented Generation with Contextual Knowledge Graph Construction | Aramai